基于均值平移的水下焊缝图像分割

The underwater weld seam image segmentation based on Mean Shift Algorithm

为提高目标识别概率,针对水下焊缝图像,提出了均值平移的算法以及其在水下图像分割中的应用。它是一种有效的统计迭代算法。分析了这种分割方法的特性,通过对水下焊缝图像的实验,它具有优秀的性能与健壮性。

In order to improve the proportion of target detection,the mean shift algorithm for underwater weld seam image segmenta-tion is proposed. It is an effective iterative algorithm,which is efficient and has good robust. After analyzing the character of this al-gorithm and doing experiments on underwater weld seam image,we know that the method can segment the image very well.